MIXTURE Modeling in Mplus

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QuantFish instructor Dr. Christian Geiser explains how the TYPE=MIXTURE option works in the Mplus software and how you can estimate latent class, latent profile, growth mixture, and other models to examine population heterogeneity.

#Mplus #statistics #SPSS #geiser #statisticstutorials #mixture #lca #lpa #latentclass #growthmixture

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Комментарии
Автор

Hi Christian, your LPA course and Youtube videos have been tremendously helpful. However, I cannot find any information about accounting for nesting when using LCA/LPA. I get similar results using a naive LPA (not accounting for clustering) and a MLPA (same class solution). However, I have students nested within courses, and the sample size at Level 2 (courses) is too small to use MLPA since there are only 5 courses in which students are nested. I need to account for the nesting but I am unsure how to do this with only 5 clusters. My RQs are only focused on Level 1 factors, so in addition to not having a large enough n at Level 2, I also do not need MLM since my questions are at the individual level. I simply need to account/control for nesting within courses. Also, the proportions of students nested within courses is unequal, with some courses containing many many more students than others. Do you have any suggestions for me about this?

CaraWorick
Автор

Hi Christian, thanks for the great video! Do you know why I get a good model fit when using grouping = gender .., but not when using gender as latent classes? Best, Magnus

magnus